Earth Sciences Institute (ICT), Pole of the Faculty of Sciences University of Porto, Porto, Portugal; Department of Plant Biology and Soil Sciences, University of Vigo, Vigo, Spain.
Earth Sciences Institute (ICT), Pole of the Faculty of Sciences University of Porto, Porto, Portugal; Department of Geosciences, Environment and Spatial Plannings, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 687, 4169-007 Porto, Portugal.
Sci Total Environ. 2019 Jun 10;668:333-341. doi: 10.1016/j.scitotenv.2019.02.345. Epub 2019 Feb 27.
The knowledge of the allergen content in the atmosphere is a useful tool to stablish the risk allergy warnings for the sensitive people. In Portugal the main airborne allergenic pollen come from trees (such as Betula or Olea), grasses or weeds (mainly Urticaceae). The present study sought the quantification of the Bet v 1, Ole e 1, Lol p1 and Par j1-2 aeroallergen concentration as well as how weather variables influence in the pollen and allergen concentration in Porto city. Aerobiological study was carried out by a Hirst-type volumetric sampler for pollen collection and a Burkard Cyclone sampler for the aeroallergens. A regression analysis between pollen and allergens was conducted for the identification the allergenic risk days. High Pollen Allergen Potency in the atmosphere was observed considering the low levels of airborne pollen detected. A significant and positive correlation has been obtained between pollen and aeroallergen values with the temperatures whereas the correlation was negative with relative humidity, rainfall and wind speed. Back trajectory methodology was applied in order to analyse the discordances between pollen and allergen maximum concentrations. The analysis showed that when the pollen and allergen peaks were registered on the same day, air masses always comes from the continent. However, when the peaks do not coincide, the air mass comes from the continent in the case of the pollen peak and from the sea for the allergen peak. This behaviour can be a consequence of the high humidity in the air masses from the sea, which can benefit the allergen release from pollen grains. In our study it was observed that the available traditional information for allergenic Type I patients, corresponding to the amount of pollen grains in the bioaerosol, do not accurately identify the real allergenic load in the air.
空气中过敏原含量的知识是为敏感人群建立过敏风险预警的有用工具。在葡萄牙，主要的空气过敏原来自树木（如桦木或油橄榄）、草或杂草（主要是荨麻科）。本研究旨在量化空气中的 Bet v 1、Ole e 1、Lol p1 和 Par j1-2 过敏原浓度，以及天气变量如何影响波尔图市的花粉和过敏原浓度。采用 Hirst 型容量采样器收集花粉，采用 Burkard 旋风采样器收集空气过敏原，进行空气生物学研究。为了确定致敏风险日，对花粉和过敏原进行了回归分析。考虑到检测到的空气中花粉水平较低，观察到空气中高花粉过敏原效价。在温度方面，花粉和过敏原值之间存在显著的正相关关系，而与相对湿度、降雨量和风速之间存在负相关关系。应用轨迹分析法分析花粉和过敏原最大浓度之间的差异。分析表明，当花粉和过敏原峰值出现在同一天时，气团总是来自大陆。然而，当峰值不一致时，花粉峰值时气团来自大陆，而过敏原峰值时气团来自海洋。这种行为可能是由于来自海洋的气团湿度较高，有利于花粉粒释放过敏原。在我们的研究中，观察到针对 I 型过敏患者的现有传统信息（对应于生物气溶胶中的花粉颗粒数量）并不能准确识别空气中的实际过敏原负荷。
